Triple

T15112381
Position Surface form Disambiguated ID Type / Status
Subject Burera District E360944 entity
Predicate hasCapital P204 FINISHED
Object Cyanika
Cyanika is a town in northern Rwanda that serves as the administrative center of Burera District.
 E1139219 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cyanika | Statement: [Burera District, hasCapital, Cyanika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cyanika
Context triple: [Burera District, hasCapital, Cyanika]
  • A. Kadina
    Kadina is a historic copper mining town and one of the main commercial centers on South Australia's Yorke Peninsula.
  • B. Mylasa
    Mylasa was an important ancient city of Caria in southwestern Anatolia, known as a political and religious center, particularly for the worship of Zeus.
  • C. Kynar
    Kynar is Arkema’s well-known brand of polyvinylidene fluoride (PVDF) resins used for high-performance coatings, films, and engineering plastics.
  • D. Rineia
    Rineia is a small, uninhabited Greek island in the Aegean Sea, lying next to Delos and administratively part of the Cyclades archipelago.
  • E. Nassa
    Nassa is a small locality or hamlet that forms part of the municipality of Valfurva in northern Italy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cyanika
Triple: [Burera District, hasCapital, Cyanika]
Generated description
Cyanika is a town in northern Rwanda that serves as the administrative center of Burera District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cyanika
Target entity description: Cyanika is a town in northern Rwanda that serves as the administrative center of Burera District.
  • A. Kadina
    Kadina is a historic copper mining town and one of the main commercial centers on South Australia's Yorke Peninsula.
  • B. Mylasa
    Mylasa was an important ancient city of Caria in southwestern Anatolia, known as a political and religious center, particularly for the worship of Zeus.
  • C. Kynar
    Kynar is Arkema’s well-known brand of polyvinylidene fluoride (PVDF) resins used for high-performance coatings, films, and engineering plastics.
  • D. Rineia
    Rineia is a small, uninhabited Greek island in the Aegean Sea, lying next to Delos and administratively part of the Cyclades archipelago.
  • E. Nassa
    Nassa is a small locality or hamlet that forms part of the municipality of Valfurva in northern Italy.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058d786c8190937c6819255c01bd completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7eccb988190aae27dd28cf50997 completed May 9, 2026, 4:28 a.m.
NEDg Description generation batch_69febc7e6d408190983a1f1e706c67b1 completed May 9, 2026, 4:47 a.m.
NED2 Entity disambiguation (via description) batch_69febd10a9a08190aabfa072199db5c9 completed May 9, 2026, 4:50 a.m.
Created at: April 10, 2026, 3:05 a.m.